Share Email Print

Proceedings Paper

Ultrasound bent-ray tomography with a modified total-variation regularization scheme
Author(s): Miranda Intrator; Youzuo Lin; Ting Chen; Junseob Shin; Lianjie Huang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The sound-speed distribution of the breast can be used for characterizing breast tumors, because they typically have a higher sound speed than normal breast tissue. This is understood to be the result of remodeling of the extracellular matrix surrounding tumors. Breast sound-speed distribution can be reconstructed using ultrasound bent-ray tomography (USRT). We have recently demonstrated that USRT, using arrival times of both transmission and reflection data, significantly improves image quality. To further improve the robustness of tomographic reconstructions, we develop a USRT method using a modified total-variation (MTV) regularization scheme. Regularization is often used in solving inverse problems by introducing restrictions such as for smoothness. Tikhonov regularization is a widely used regularization scheme that tends to smooth tomographic images, but oversmoothing can obscure critical diagnostic detail such as tumor margins. Total-variation (TV) regularization is another common regularization scheme that preserves tumor margins, but at the cost of increased image noise. Our new USRT with MTV regularization is a Tikhonov-TV hybrid, reducing image noise while preserving margins. We apply our new method to ultrasound transmission data from numerical phantoms, and compare the results with those obtained using Tikhonov regularization.

Paper Details

Date Published: 17 March 2015
PDF: 10 pages
Proc. SPIE 9419, Medical Imaging 2015: Ultrasonic Imaging and Tomography, 941917 (17 March 2015); doi: 10.1117/12.2082192
Show Author Affiliations
Miranda Intrator, Los Alamos National Lab. (United States)
Youzuo Lin, Los Alamos National Lab. (United States)
Ting Chen, Los Alamos National Lab. (United States)
Junseob Shin, Los Alamos National Lab. (United States)
Lianjie Huang, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 9419:
Medical Imaging 2015: Ultrasonic Imaging and Tomography
Johan G. Bosch; Neb Duric, Editor(s)

© SPIE. Terms of Use
Back to Top